class_docstr: At the end of each experience, this metric reports the
  MAC computed on a single pattern.
  This plugin metric only works at eval time.
docstr: Creates an instance of ExperienceMAC metric
docstr_tok: ["Creates","an","instance","of","ExperienceMAC","metric"]
code: def __init__(self):
      """
      Creates an instance of ExperienceMAC metric
      """
      super(ExperienceMAC, self).__init__(
          reset_at="experience", emit_at="experience", mode="eval"
      )
  
imports: from torch.nn import Module
  from typing import List, Optional
  from torch import Tensor
  from avalanche.evaluation import Metric, PluginMetric, GenericPluginMetric
label_desc: Use image node_id 1 to create a new ExperienceMAC object from inherited base classes: MACPluginMetric with example: obj = ExperienceMAC()